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08/31/2023
Scalable Incomplete Multi-View Clustering with Structure Alignment
The success of existing multi-view clustering (MVC) relies on the assump...
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08/17/2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Benefiting from the strong view-consistent information mining capacity, ...
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06/08/2023
One-step Multi-view Clustering with Diverse Representation
Multi-view clustering has attracted broad attention due to its capacity ...
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06/04/2023
Fast Continual Multi-View Clustering with Incomplete Views
Multi-view clustering (MVC) has gained broad attention owing to its capa...
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03/28/2023
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment
The success of existing multi-view clustering relies on the assumption o...
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03/14/2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Graph neural networks (GNNs) have been widely investigated in the field ...
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01/03/2023
Cluster-guided Contrastive Graph Clustering Network
Benefiting from the intrinsic supervision information exploitation capab...
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12/07/2022
Contrastive Deep Graph Clustering with Learnable Augmentation
Graph contrastive learning is an important method for deep graph cluster...
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12/01/2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Graph anomaly detection (GAD) is a vital task in graph-based machine lea...
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08/02/2022
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization
Multi-view clustering (MVC) optimally integrates complementary informati...
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07/13/2022
Multiple Kernel Clustering with Dual Noise Minimization
Clustering is a representative unsupervised method widely applied in mul...
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07/05/2022
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
Multiple kernel clustering (MKC) is committed to achieving optimal infor...
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06/06/2022
Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning
Graph Neural Networks (GNNs) have achieved promising performance in semi...
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05/30/2022
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Multi-view anchor graph clustering selects representative anchors to avo...
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02/24/2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Semi-supervised learning (SSL) has long been proved to be an effective t...
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12/29/2021
Deep Graph Clustering via Dual Correlation Reduction
Deep graph clustering, which aims to reveal the underlying graph structu...
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08/05/2021
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Video abnormal event detection (VAD) is a vital semi-supervised task tha...
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08/04/2021
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
Video anomaly detection (VAD) has constantly been a vital topic in video...
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05/01/2021
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
Multi-view clustering (MVC) has been extensively studied to collect mult...
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04/27/2021
Multi-view Deep One-class Classification: A Systematic Exploration
One-class classification (OCC), which models one single positive class a...
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03/21/2021
Deep Distribution-preserving Incomplete Clustering with Optimal Transport
Clustering is a fundamental task in the computer vision and machine lear...
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01/06/2021
Multi-object Tracking with a Hierarchical Single-branch Network
Recent Multiple Object Tracking (MOT) methods have gradually attempted t...
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12/15/2020
Deep Fusion Clustering Network
Deep clustering is a fundamental yet challenging task for data analysis....
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08/31/2020
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
Multi-view spectral clustering can effectively reveal the intrinsic clus...
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08/27/2020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
As a vital topic in media content interpretation, video anomaly detectio...
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05/11/2020
SimpleMKKM: Simple Multiple Kernel K-means
We propose a simple yet effective multiple kernel clustering algorithm, ...
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11/28/2019
Understand Dynamic Regret with Switching Cost for Online Decision Making
As a metric to measure the performance of an online method, dynamic regr...
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08/04/2019
Simultaneous Clustering and Optimization for Evolving Datasets
Simultaneous clustering and optimization (SCO) has recently drawn much a...
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12/26/2018
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
We provide a new theoretical analysis framework to investigate online gr...
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08/20/2018